AI-Powered Resume Ranker for HR

This Streamlit application automates the process of ranking job candidates based on their resumes against a job description. It utilizes AI models for resume analysis and question generation for interviews.

Features

• Upload Resumes: Upload multiple PDF resumes for analysis.
• Job Description Input: Enter the job description or key requirements.
• Resume Analysis: Rank resumes based on relevance to the job description.
• Interview Questions: Generate tailored interview questions for top-ranked candidates.
• Database Integration: Add candidates to a SQLite database and view the latest candidates.

Installation

git clone https://github.com/Sinarc-co/easy-hiring.git
cd easy-hiring
pip install -r requirements.txt

Create a .env file with your GROQ_API_KEY:

GROQ_API_KEY=your_api_key_here

Usage

streamlit run main.py

Upload PDF resumes and enter the job description to start analyzing.

Folder Structure

├── main.py            # Main application script
├── modules/
│   ├── ai_models.py   # AI model initialization and resume analysis
│   ├── database.py    # SQLite database initialization and operations
│   ├── resume.py      # PDF processing and vector store creation
│   └── tempfile_util.py  # Temporary file handling
└── candidates.db      # SQLite database file

Screenshots

Resume Ranker

Interview Questions

Adding Candidate to DB

Contributing

Contributions are welcome! Please fork the repository and create a pull request for any bug fixes or improvements.

Experience seamless resume analysis or refine your own to enhance your career journey!